基于adaboost-lc的微博垃圾评论识别的研究

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1、重庆大学硕士学位论文目录目录中文摘要·················································································································II英文摘要·················································································································II1绪论···

2、···············································································································21.1课题研究背景及意义·····················································································21.2国内外研究现状······································

3、·····················································21.3论文研究内容······························································································21.4论文结构·····························································································

4、·······22微博垃圾评论识别相关理论和技术····························································22.1微博垃圾评论识别概述··················································································22.1.1微博系统介绍··································································

5、·······················22.1.2垃圾评论定义·························································································22.2微博垃圾评论识别方法··················································································22.2.1基于人工的识别方法·······················

6、·························································22.2.2基于自动的识别方法················································································22.2.3其他垃圾评论识别方法·············································································22.3文本相似度计算··

7、··························································································22.4本章小结····································································································23基于AdaBoost-LC的微博垃圾评论识别··································23

8、.1方法的提出·································································································23.2AdaBoost算法介绍··········································································